Custom Metrics now available in Amazon CloudWatch Application Signals

Amazon CloudWatch Application Signals now supports Custom Metrics, empowering developers and operators to pinpoint the root cause of application issues faster and with greater precision. CloudWatch Application Signals already helps you monitor the health of your applications through standard metrics like fault rates, errors, and latency. Now, you can add your own custom metrics that provide deeper context about your application’s behavior and correlate them with standard metrics in a unified view.

With Custom Metrics in Application Signals, you can define and visualize application-specific metrics that provide critical context for your services, correlate custom metrics with standard metrics in the new ‘Related Metrics’ tab, identify patterns and dependencies between metrics to narrow down issue root causes, and analyze specific data points through interactive visualization and correlation analysis. You have the flexibility of using either OpenTelemetry Metrics, where you create and export metrics directly from your application code using the OpenTelemetry Metrics SDK or Span Metrics, where you can add custom span attributes using the OpenTelemetry Traces SDK and create metrics from them using Metrics Filters. In the Application Signals console you can select and graph multiple metrics together to visualize correlations, filter metrics by name, type, and other attributes, select data points to view correlated spans, top contributors, and related logs and navigate directly from Service Operations or Dependencies to Related Metrics through correlation analysis.

Custom Metrics support is available in all regions Application Signals is available in. For more information about custom metrics, refer to the documentation. For pricing details, see Amazon CloudWatch pricing.

Categories: general:products/amazon-cloudwatch,marketing:marchitecture/management-and-governance

Source: Amazon Web Services

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